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Photosensitized semiconducting nanomaterials have received considerable attention because of their applications in photocatalytic and photoelectronic devices. In such systems, photoexcited electrons with sufficiently high energies can be injected into the conduction band (CB) of an adjacent semiconductor. These excited electrons are subjected to various physical processes that can lead to their annihilation before exercising their catalytic/electric functions, and the efficiency of the photosensitized functions depends on the quantity of CB electrons produced and how long they remain near the surface region of the semiconductor. The rise and decay of photoexcited electrons in the semiconductor CB can be probed with transient IR absorption (TA), which was first demonstrated by Lian and co-workers. Results from various laboratories have since revealed that electrons appear in the CB following the excitation of the photosensitizer in tens to hundreds of femtoseconds and that the decay of the CB electrons typically exhibits multiple exponentials on varying ultrafast time scales. The size of the semiconductor nanoparticle appears to influence the diffusion of the CB electrons and thus their lifetimes. In all studies reported, the observed multiexponential decays have been analyzed and interpreted using purely phenomenological models, in which the individual decays were intuitively assigned to one specific relaxation or loss process. In reality, however, each exponential decay can be a convolution of multiple physical processes. In this Account, we report a universally applicable physical model, constructed by including all known electron dynamic processes, to quantitatively account for the multiexponential decays. We characterize the model as universal, as it can be used to analyze our own TA measurements, as well as data acquired in other laboratories. In our study of TiO

Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though quite a few rumor detection models have exploited the multi-modal data, they seldom consider the inconsistent semantics between images and texts, and rarely spot the inconsistency among the post contents and background knowledge. In addition, they commonly assume the completeness of multiple modalities and thus are incapable of handling handle missing modalities in real-life scenarios. Motivated by the intuition that rumors in social media are more likely to have inconsistent semantics, a novel Knowledge-guided Dual-consistency Network is proposed to detect rumors with multimedia contents. It uses two consistency detection subnetworks to capture the inconsistency at the cross-modal level and the content-knowledge level simultaneously. It also enables robust multi-modal representation learning under different missing visual modality conditions, using a special token to discriminate between posts with visual modality and posts without visual modality. Extensive experiments on three public real-world multimedia datasets demonstrate that our framework can outperform the state-of-the-art baselines under both complete and incomplete modality conditions. Our codes are available at https://github.com/MengzSun/KDCN.

Nanoporous materials (sub-10 nm in diameter) have potential applications in chips, biosensors, thermoelectrics, desalination and other fields due to their large surface-to-volume ratio. Thermal annealing is a preferred technique to precisely control the ultra-fine nanopore size. Here, the 3D morphological evolution of a membrane with periodic nanopores by thermal annealing is studied. It is found that the evolution is determined by the combination of the membrane thickness, the initial nanopore radius and the periodic length of the porous pattern, rather than the previously suggested ratio between the membrane thickness and pore radius. High-temperature annealing experiments and molecular dynamics simulations are performed to confirm the rationality of the newly proposed model. Energy analysis demonstrates that surface energy minimization is the driving force of the morphological evolution. The local minimum of energy in the new model provides the possibility of thermal stability of nanoporous silicon as a thermoelectric material. This study provides guidance for the mass production of nanoporous membranes with high-temperature annealing.

Phase transitions of lipid bilayer membranes should affect passive transport of molecules. While this hypothesis has been used to design drug-releasing thermosensitive liposomes, the effect has yet to be quantified. Herein, we use time-resolved second harmonic light scattering to measure transport of a molecular cation across membranes of unilamellar liposomes composed of the total lipid extract of E. coli from 9 °C to 36 °C, in which two distinct phase transitions (gel to liquid-disordered phase) have been identified. While the transport rate slowly increases with temperature as a diffusion process, dramatic jumps are observed at 14.7 °C and 27.6 °C, the known phase transitions. The transport rate constant measured as (7.3±0.8)×10sup-3/sup ssup-1/supin the liquid-disordered phase at 36 °C is 35-times faster than (2.1±0.2)×10sup-4/sup ssup-1/supof the gel phase at 9 °C. For the mixed-phase between these two phases, the measured rates are consistent with a structure of gel domains among a liquid-disordered bulk.

Bacterial surface charge is a critical characteristic of the cell’s interfacial physiology that influences how the cell interacts with the local environment. A direct, sensitive, and accurate experimental technique capable of quantifying bacterial surface charge is needed to better understand molecular adaptations in interfacial physiology in response to environmental changes. We introduce here the method of second harmonic light scattering (SHS) which is capable of detecting the number of molecular ions adsorbed as counter charges on the exterior bacterial surface, thereby providing a measure of the surface charge. In this first demonstration, we detect the small molecular cation, malachite green, electrostatically adsorbed on the surface of representative strains of Gram-positive and Gram-negative bacteria. Surprisingly, the SHS deduced molecular transport rates through the different cellular ultra-structures are revealed to be nearly identical. However, the adsorption saturation densities on the exterior surfaces of the two bacteria were shown to be characteristically distinct. The negative charge density of the lipopolysaccharide coated outer surface of Gram-negative E. coli (8.7±1.7 nm−2) was deduced to be seven times larger than that of the protein surface layer of Gram-positive L. rhamnosus (1.2±0.2 nm−2). The feasibility of SHS deduced bacterial surface charge density for Gram-type differentiation is presented.STATEMENT of SIGNIFICANCEBacterial surface charge density is an important physiological characteristic which determines how the cell interacts with its local environment. Directly measuring the surface charge density, however, is experimentally non-trivial. In this work, we report an experimental method, second harmonic light scattering, that can directly and accurately quantify the surface charge density of individual living bacteria. This is achieved by measuring the number of molecular ions electrostatically adsorbed on the exterior cellular surface as counter charges. It is found that the negative charge density of a representative Gram-negative bacterium is 7 times larger than a representative Gram-positive bacterium. It is suggested that this disparity of surface charge density can be exploited as a basis for Gram-classification of bacteria.

Due to the sedentary lifestyles of people, the number of obese people is increasing alarmingly, which leads to the high prevalence of diabetes mellitus (DM). It was reported that circularRNA (circRNA) LRP6 was upregulated in HG-treated mesangial cells, and it could regulate high glucose-induced cell injury via sponging miR-205. Thus, the aim of this study was to explore the underlying pathogenesis of DM. Streptozocin (STZ) was used to stimulate the in vitro model of pancreatic β-cell injury. Then, quantitative reverse transcription polymerase chain reaction (RT-qPCR) and methyl thiazolyl tetrazolium (MTT) assay were used to evaluate the expression of circLRP6 and the cell viability in STZ-challenged INS-1 cells, respectively. After knocking down circLRP6, the cell viability and apoptosis were respectively measured by MTT and TdT-mediated dUTP nick-end labeling (TUNEL) staining, and insulin release and oxidative stress were respectively measured by enzyme-linked immunosorbent assay (ELISA) and corresponding kits. After the interactions among circLRP6, PRMT1, and miR-9-5p were predicted and confirmed, the above mentioned assays were conducted again. The expression of circLRP6 was elevated while cell viability was decreased after INS-1 cells were exposed to STZ. Silencing circLRP6 resulted in an increase in the cell viability, a decrease in the cell apoptosis, together with more insulin release. The circLRP6/miR-9-5p/PRMT1 regulatory network was then confirmed, which affected the cell viability, apoptosis, insulin release, and oxidative stress in STZ-challenged INS-1 cells. In conclusion, this study first provides evidence that the circLRP6/miR-9-5p/PRMT1 regulatory network can affect STZ-induced cell viability, oxidative stress, and insulin secretion in INS-l cells, which can further impact the progression of diabetes.

In order to reduce the cost of the piezo actuator array deformable mirror (DM), a piezoelectric DM driven by unimorph actuator arrays on multi-spatial layers is proposed. The actuator density can be multiplied by increasing the spatial layers of the actuator arrays. A low-cost DM prototype with 19 unimorph actuators located on three spatial layers is developed. The unimorph actuator can generate a wavefront deformation up to 11 µm at an operating voltage of 50 V. The DM can reconstruct typical low-order Zernike polynomial shapes accurately. The mirror can be flattened to 0.058 µm in RMS. Furthermore, a focal spot close to Airy spot is obtained in the far field after the aberrations of the adaptive optics testing system being corrected.

White-light non-diffraction beams such as Airy beam and Bessel beam have potential applications in multispectral imaging and micromanipulation. Generation of white-light Airy beam and Bessel beam with high quality and high efficiency still remains challenging for conventional diffractive or refractive optics which suffers from significant chromatic dispersion. In this paper, both high-quality white-light Airy beam and Bessel beam are generated using a deformable mirror by modulating the incident LED beam with tunable cubic and conical wavefronts. The main lobe of the generated white-light non-diffraction beams does not suffer from chromatic dispersion along the propagation. The results also show that the generation of the white-light Bessel beam has higher requirements for spatial coherence than white-light Airy beams. Our work expands the understanding of the white-light non-diffraction beams and paves the way for the applications.

Indole signaling in bacteria plays an important role in antibiotic resistance, persistence, and tolerance. Here, we used the nonlinear optical technique, second-harmonic light scattering (SHS), to examine the influence of exogenous indole on the bacterial uptake of the antimicrobial quaternary ammonium cation (qac), malachite green. The transport rates of the antimicrobial qac across the individual membranes of

The aim of this study is to compare the recurrence rates with different modalities used as first-line treatment for first-episode primary spontaneous pneumothorax, and investigated the risk factors for recurrence. We retrospectively reviewed consecutive patients under 60 years of age who were treated for a first episode of primary spontaneous pneumothorax between May 1996 and May 2016 at our hospital. The patients were divided into 6 groups according to the treatment received. A total of 667 patients with 890 episodes of primary spontaneous pneumothorax were included in the analysis. The median follow-up period was 64.5 months. The recurrence rate in the 6 groups was as follows: observation, 52.5% (21/40); chest tube drainage, 32.6% (84/258); aspiration, 100% (42/42); axillary thoracotomy, 8.8% (9/102); 2-port video-assisted thoracoscopic surgery (VATS), 6.0% (7/117); and 3-port VATS, 10.6% (11/108). The recurrence rate was higher in non-surgery groups than in surgery groups (147/340 vs 27/327, P

The lifetime for injecting hot electrons generated in Ag nanoplatelets to nearby TiO

In this paper, the BP neural network is optimized by using the network prediction algorithm to eliminate the shortcomings of the traditional BP neural network, such as local minimum and slow convergence speed, and the performance of the network prediction model is determined through comparative simulation experiments. Then, ABAQUS is used to create a numerical finite element model of river ecological bank slope, and its stability is analyzed by numerical simulation. The main factors considered are the change of water level in the canal, the influence of precipitation, and the influence of ship waves. On the basis of finite element analysis, combined with multilanguage programming method, we completed the construction of river ecosystem slope stability early warning platform based on GIS and finite element technology. Secondly, the shallow root reinforcement and deep root vegetation anchorage are determined to improve the stability of the bank slope, so as to better guide the design and application of riparian ecological protection projects. Finally, the network prediction model is used to monitor the effect of weight loss, then find the maximum fatty acid strength of overweight people, and make Fatmax weight loss plan for overweight people. In addition, we will compare the effect of Fatmax weight loss exercise program on various body functions of obese people in normal and hypoxic environments, so as to provide reference for those who are going to lose weight. In this paper, through the study of network prediction model and river ecological slope stability, it is applied to the research of sports weight loss effect monitoring, which promotes the better development of sports weight loss.